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KiHustle Subjectivity Analysis API
x402
KiHustle Subjectivity Analysis API is a paid API for AI agents from kihustle.tech, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Analyzes a given text to determine its subjectivity — distinguishing objective statements from subjective opinions or sentiment-laden language
Price / call$0.002
Success—
StatusUnknown
How this service works
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Output
Returns a JSON object with a 'result' field indicating the subjectivity classification outcome and a 'status' field confirming successful processing. The response schema is minimal; specific subjectivity scores, labels, or confidence values may be included in the result field depending on the implementation.
Example use cases
Review objectivity screening
“I need to check if this customer review is mostly subjective opinion or objective fact — here's the text: 'The delivery was fast and the packaging was minimal, but the flavor was honestly disappointing and overrated.'”
News article bias detection
“Can you run a subjectivity check on this news excerpt to help me figure out if it's neutral reporting or laced with opinion? Here it is: 'The government's reckless new policy is already causing widespread anger among citizens.'”
Social media post classification
“Analyze this tweet for subjectivity — I want to know if it's a factual claim or just someone's personal take: 'Remote work is objectively better for productivity and anyone who disagrees is wrong.'”
Technical details
Endpoint
POSThttps://kihustle.tech/nexus/api/v1/subjectivity-analysisWhen to prefer
Choose this endpoint when you need a lightweight, pay-per-call subjectivity classifier with no authentication overhead beyond micropayment via x402. Best suited for single-text analysis tasks where you want to distinguish opinionated from objective language quickly. Avoid if you need detailed sentiment scores, entity-level analysis, or a well-documented production-grade NLP API.
Side effects
- Empty or missing 'text' field in request body — likely returns an error status
- Overly long text may exceed processing limits — no explicit length constraint documented
- Vague or generic response schema means interpretation of result values requires trial and error
- Low crawl quality score suggests the endpoint may be experimental or unstable
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string |
Output
Schema · Response
{
"type": "json",
"example": {
"result": "processed",
"status": "success"
}
}Tags
x402
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